code: def try_import_torch(error: bool = False):
      """Tries importing torch and returns the module (or None).
  
      Args:
          error: Whether to raise an error if torch cannot be imported.
  
      Returns:
          Tuple consisting of the torch- AND torch.nn modules.
  
      Raises:
          ImportError: If error=True and PyTorch is not installed.
      """
      if "RLLIB_TEST_NO_TORCH_IMPORT" in os.environ:
          logger.warning("Not importing PyTorch for test purposes.")
          return _torch_stubs()
  
      try:
          import torch
          import torch.nn as nn
  
          return torch, nn
      except ImportError:
          if error:
              raise ImportError(
                  "Could not import PyTorch! RLlib requires you to "
                  "install at least one deep-learning framework: "
                  "`pip install [torch|tensorflow|jax]`."
              )
          return _torch_stubs()
  
imports: import logging
  import numpy
  import os
  import sys
  from typing import Any, Optional
  from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI
  from ray.rllib.utils.deprecation import Deprecated
  from ray.rllib.utils.typing import TensorShape, TensorType
label_desc: Use image node_id 5 for calling a global function with example usage: try_import_torch(error) and returns: _torch_stubs, torch,  nn, _torch_stubs